Hey! So, I’ve been working on something similar, and I found that z-scores are the best way to normalize data to a 3 sigma model. But here’s a tip: always check your data for normality first. If it’s not normally distributed, you might need to transform it before scaling.
Also, if you’re using Python, check out the `scipy.stats.zscore` function. It’s super easy to use and can save you a ton of time. And don’t forget to watch out for outliers—they can really mess with your results.
Also, if you’re using Python, check out the `scipy.stats.zscore` function. It’s super easy to use and can save you a ton of time. And don’t forget to watch out for outliers—they can really mess with your results.